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SkylineSearch: Semantic Ranking and Result Visualization for PubMed

Summary: SkylineSearch uses MeSH-based semantic annotations to rank PubMed articles, yielding a 2D skyline of relevance vs. publication date. It enables interactive exploration beyond PubMed's search, helping researchers identify relevant references. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4545
Venue
SIGMOD
Year
2011
Pagerank
-
Overall Rank
13,687 | 6.10%
DOI
10.1145/1989323.1989467

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Authors

BibTeX Citation

@inproceedings{stoyanovich_sigmod11,
        title = {{SkylineSearch: Semantic Ranking and Result Visualization for PubMed}},
        author = {Stoyanovich, Julia and Lodha, Mayur and Mee, William and Ross, Kenneth A.},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989467},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989467},
        year = {2011}
}

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